Model of an electric chiller, based on the model by Hydeman et
al. (2002) that has been developed in the CoolTools project and
that is implemented in EnergyPlus as the model
Chiller:Electric:ReformulatedEIR. This empirical model
is similar to Buildings.Fluid.Chillers.ElectricEIR.
The difference is that to compute the performance, this model uses
the condenser leaving temperature instead of the entering
temperature, and it uses a bicubic polynomial to compute the part
load performance.
This model uses three functions to predict capacity and power consumption:
| Function | Description | Formulation | |
|---|---|---|---|
ElectricEIR
(this model) |
ElectricReformulatedEIR
(this model) |
||
capFunT |
Adjusts cooling capacity for current fluid temperatures | Biquadratic on TConEnt and
TEvaLvg |
Biquadratic on TConLvg and
TEvaLvg |
EIRFunPLR |
Adjusts EIR for the current PLR | Quadratic on PLR | Bicubic on TConLvg and PLR |
EIRFunT |
Adjusts EIR for current fluid temperatures | Biquadratic on TConEnt and
TEvaLvg |
Biquadratic on TConLvg and
TEvaLvg |
These curves are stored in the data record per and
are available from Buildings.Fluid.Chillers.Data.ElectricReformulatedEIR.
How they are used to compute the adjusted capacity and compressor
power can be found in the documentation of Buildings.Fluid.Chillers.BaseClasses.PartialElectric.
Additional performance curves can be developed using two available
techniques (Hydeman and Gillespie, 2002). The first technique is
called the Least-squares Linear Regression method and is used when
sufficient performance data exist to employ standard least-square
linear regression techniques. The second technique is called
Reference Curve Method and is used when insufficient performance
data exist to apply linear regression techniques. A detailed
description of both techniques can be found in Hydeman and
Gillespie (2002).
The model takes as an input the set point for the leaving chilled water temperature, which is met if the chiller has sufficient capacity. Thus, the model has a built-in, ideal temperature control. The model has three tests on the part load ratio and the cycling ratio:
PLR1 =min(QEva_flow_set/QEva_flow_ava, per.PLRMax);ensures that the chiller capacity does not exceed the chiller capacity specified by the parameter
per.PLRMax.CR = min(PLR1/per.PRLMin, 1.0);computes a cycling ratio. This ratio expresses the fraction of time that a chiller would run if it were to cycle because its load is smaller than the minimal load at which it can operate. Note that this model continuously operates even if the part load ratio is below the minimum part load ratio. Its leaving evaporator and condenser temperature can therefore be considered as an average temperature between the modes where the compressor is off and on.
PLR2 = max(per.PLRMinUnl, PLR1);computes the part load ratio of the compressor. The assumption is that for a part load ratio below
per.PLRMinUnl, the
chiller uses hot gas bypass to reduce the capacity, while the
compressor power draw does not change.The electric power only contains the power for the compressor, but not any power for pumps or fans.
The model can be parametrized to compute a transient or steady-state response. The transient response of the chiller is computed using a first order differential equation for the evaporator and condenser fluid volumes. The chiller outlet temperatures are equal to the temperatures of these lumped volumes.
Optionally, the model can be configured to represent heat
recovery chillers with a switchover option by setting the parameter
have_switchover to true. In that case an
additional Boolean input connector coo is used. The
chiller is tracking a chilled water supply temperature setpoint at
the outlet of the evaporator barrel if coo is
true. Otherwise, if coo is
false, the chiller is tracking a hot water supply
temperature setpoint at the outlet of the condenser barrel. See
Buildings.Fluid.Chillers.Examples.ElectricEIR_HeatRecovery for
an example with a chiller operating in heating mode.